Multi-Type Interdependent Feature Analysis Based on Hybrid Neural Networks for Computer-Aided Diagnosis of Epidermal Growth Factor Receptor Mutations.
Ruoxi QinZhenzhen WangKai QiaoJinjin HaiLingyun JiangJian ChenXilong PeiDapeng ShiBin YanPublished in: IEEE Access (2020)
Keyphrases
- computer aided diagnosis
- feature analysis
- hybrid neural
- multi type
- computer aided
- medical images
- neural network
- breast cancer
- image analysis
- medical imaging
- hopfield neural network
- learning rules
- cad systems
- face recognition
- data objects
- relational data
- multiple types
- fuzzy systems
- pattern recognition
- feature extraction
- machine learning
- biologically inspired
- independent component analysis
- graph cuts
- co occurrence
- computer vision
- feature vectors